The Lazy Manufacturer’s Way of De-risking Christmas.

As the year-end approaches, we can imagine, there is no place busier than Santa’s Workshop at the North Pole. Under the diligent guidance of our dear old Santa Claus, his legendary team of efficient elves make marvelous toys and presents for all the children around the globe.  

In contrast to that singular legendary workshop, some lazy manufacturers put off production until just a couple of months before Christmas when they see they really need to get to it. And before you laugh it off, allow us to light some candles for you. Lazy Initialization can prove to be a SMART performance optimization strategy. Pay close attention to how you could avoid WIP or wastage, improve throughput, and still manage to meet the increasing demand during the festive season. 

You can easily sense there is overall fatigue from the pandemic and the crowds of people are out on a buying spree to de-stress. These are clear indicators of the increased demand this winter for product manufacturers. No manufacturer would want to miss the peak sales period! However, you would think the lazy manufacturer who has started his production a little later in the day runs the risk of not delivering in time for the Christmas fervor.  

Well, that notion may be true. To meet consumer demands, reducing production time and increased efficiency in inventory management becomes crucial. Stock-out due to underestimation, or the delay in raw material procurement, could disturb the product assembly and prevent the fulfillment of customers’ orders. That could, in fact, translate into a manufacturing disaster. Artificial Intelligence (AI) Applications have emerged as the solutions to such tricky situations.  

“Any sufficiently advanced technology is indistinguishable from magic.” 

– Arthur C. Clarke 

Like the elves on the shelves and their Elfinmagic, AI apps can also control the production processes. One of the mythical spells is called Elementumkinesis —the power to manipulate all elements. Our real-world AI solutionsdo not have such tricky names. We simply call it the Bodhee® Integrated Microplanning AI app. It improves process control by synchronized and LIVE end-to-end production micro planning. It gives a direct business benefit of optimized manufacturing with improved capacity utilization of 5-7%. 

Bodhee® Predictive Maintenance AI app tracks and prevents unexpected delays or unforeseen stoppages in work with high accuracy. Thus, it considerably reduces the risk of impact on your production schedules and improves work order closure rate by 15-20%.  

Another incredible AI app is the Bodhee® WIP Reduction App, which helps streamline your manufacturing with data-driven optimum inventory management. It catalyzes line efficiency and labor productivity by preventing downstream bottlenecks and thus helps prevention of delays in batch cycle-time by 3-5%.  

To wrap things up…. 

 Year-end festivities and Christmas present a great opportunity to leverage AI applications for handling demand and ensuring business growth. The adoption of AI in manufacturing allows companies to optimize production and efficiency. Quicker production can increase sales and customer satisfaction.  

In the past, Christmas was a time where businesses saw a lull in production and had to lay off employees. Now, Christmas can be a time for joy and celebration for manufacturers, too! With the implementation of AI, a manufacturing system can increase production, in tandem with the growing demand, without hiring more staff or investing in new equipment. Some also successfully bag their annual manufacturing goals and golden ROI during the peak period.  

Much like children, adults also revel in the joy of Christmas through gifting. Intelligent, agile manufacturing can enhance the spirit and be the greatest gift to all shoppers during Christmas. 

References: 

Foglia, E. (2018, November 8). “Any sufficiently advanced technology is indistinguishable from magic.” CCCB LAB. https://lab.cccb.org/en/arthur-c-clarke-any-sufficiently-advanced-technology-is-indistinguishable-from-magic/ 

Neewee Joins the SAP® PartnerEdge® Program

Bengaluru, India, September 23, 2021

Neewee announced today that it has joined the SAP® PartnerEdge® program as a partner that designs, develops, and builds software. 

“We are happy to announce Neewee is now an SAP partner,” said Harsimrat Bhasin CEO, Neewee. “This is a new milestone in Neewee’s journey and we would like to thank the entire team for this achievement. With Neewee’s leading-edge artificial intelligence apps in industrial analytics, manufacturing companies can improve their quality, efficiency, and productivity by leveraging the power of the internet of things (IoT) and AI.” 

Neewee enables manufacturing companies to see the larger context by collecting, connecting, and analyzing data from every point of the manufacturing process. This helps discover underlying patterns, uncover high-potential opportunities, predict deviations, and prescribe solutions. In turn, this intelligence augments day-to-day operations, empowering analysts, managers, and shop-floor staff to take crucial business decisions in real time. Neewee’s AI apps developed specifically for the manufacturing industry help identify parameters impacting yield, quality, production efficiency, consistency, and cycle times. They provide real-time recommendations and integrate with existing Information Technology/Operational Technology systems and platforms. 

As a partner in the SAP PartnerEdge program, Neewee is empowered to build, market and sell software applications that supplement and build on SAP software and technology. Neewee has its platform agnostic AI apps deployed on SAP Business Technology Platform. The SAP PartnerEdge program provides the enablement tools, benefits and support to facilitate building high-quality, disruptive applications focused on specific business needs – quickly and cost-effectively. The program provides access to all relevant SAP technologies in one simple framework under a single, global contract. 

About Neewee

We here at Neewee believe that a data-filled world needs a data-first approach. Neewee’s proprietary AI applications are optimizing manufacturing operations for leading global companies, and we have offices worldwide. We are driven with the vision of enabling complete digitalization of manufacturing to accelerate industrial transformation and profitable growth. 

Any statements in this release that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995. All forward-looking statements are subject to various risks and uncertainties described in SAP’s filings with the U.S. Securities and Exchange Commission, including its most recent annual report on Form 20-F, that could cause actual results to differ materially from expectations. SAP cautions readers not to place undue reliance on these forward-looking statements which SAP has no obligation to update and which speak only as of their dates. 

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries.
Please see https://www.sap.com/copyright for additional trademark information and notices. All other product and service names mentioned are the trademarks of their respective companies. 

For more information, press only: 
Visit: https://neewee.ai/ 
Contact: letsconnect@neewee.ai 

Understanding the Difference between Digitization, Digitalization, and Digital Transformation.

How Essential Are the 3 Ds for Your Manufacturing Business Processes?

91% of industry leaders have increased digital transformation investments in the past year,says the newly released 2021 State of Manufacturing Report.

Rising out of the phase of uncertainty brought by the global pandemic-driven shutdowns, the global manufacturing industry is now putting its back into regaining stability. Implementation of Industry 4.0 technologies is not an option for manufacturing companies but imperative to strategize the full recovery of business and achieve greener processes with more agility. The Fourth Industrial Revolution (4IR) leverages the 3 Ds of technology- Digitization, Digitalization, and Digital Transformation. 

Although the word ‘digital’ has been around for a few decades now, constantly advancing technology has changed its meaning dramatically over time. Also, the difference between digitization and digitalization is not clearly understood by many. And how these two terms are essential for digital transformation.

Digitization converts information available in the old analog form by scanning and encoding to store, process, and transmit in a computer-readable format. Essentially, digitization is the acquiring of data in the form of binary numbers to be processed by digital computers. 

In the manufacturing context, digitization of a product involves recreating an image of the physical product with the help of software tools, e.g., a clay model of an object gets designed in 3D CAD file format. The production process also gets digitized by creating a digital twin that mirrors every step in the process, end-to-end. With the help of AI applications, the entire manufacturing process- from product design and workflow of the production line to the finished product gets coded into the machines connected by the Internet of Things. Digitization replaces the paper-based processes even at the shop floor, where physical product design is no longer handed out but transmitted to a device. Thus, digitization is the foundation of digitalization — the latter cannot occur without the former.

The two terms, being closely associated, are often confused. But, scholars emphasize the analytical value in understanding the distinct difference between digitization and digitalization.

Digitalization is less about the specific process of going from analog to digital and more about a strategic and radical change in business operations. Gartner defines digitalization as the use of digital technologies to change a business model and provide new revenue and value-producing opportunities; it is the process of moving to a digital business. Accepting the overwhelming process of digitizing your traditional manufacturing processes and embracing automation and the Industrial Internet of Things is just one aspect. Digitalization also involves the workforce of your organization. In the wake of automation factory- workers and other employees need to shift from manual processes and adapt by acquiring digital skills relevant to their field of work. 

And thus, we arrive at understanding what digital transformation means. The strategic and considered move of upgrading the old factories to optimize your manufacturing processes by adopting technologies like Artificial Intelligence, Big Data Analytics, Machine Learning, Robotics, etc., is radical business transformation through digitalization. And equally vital to the transformation are the people working in the organization. But, digital transformation initiatives cannot stop at the implementation of digital technologies only. It goes beyond digitalization. For how can we forget that business is people, after all?

Digital transformation (Dx) is primarily a change in mindset that shifts the focus of organizational activities toward satisfying customer expectations, understanding pain points, and solving customer problems. Customer and employee experience is a crucial driver for successful digital transformation, as identified by the MIT Sloan Center for Information Systems Research. And the other driving factor is the operational efficiency of the organization. Embracing digital transformation means being willing to adopt artificial intelligence (AI) and automation to augment and free up workers for performing higher-value tasks. Harnessing technology for enhancing customer experiences while also aiming for a real-time lean manufacturing ecosystem will give massive business benefits —including cost efficiency, improved innovation potential, and the quintessential customer relationship. 

The unexpected advent of the COVID-19 pandemic made health and safety a major priority, which saw the whole world scrambling to cope with the new normal of remote working. And as a consequence, most enterprises converted into digitally functioning businesses for the sake of survival. There was an unprecedented change in human interaction, customer behavior, and people’s attitude toward exploring digital possibilities. There was a drastic paradigm shift, and it has come to stay.

Almost all business sectors have undergone slow but escalating digitalization. And we can surely expect that in the post-pandemic era, digital transformation — accelerated and deliberate — will become inevitable for all areas of manufacturing. If you wish to thrive (not just survive) in the next normal, your manufacturing industry has to turn agile and SMART.